Prediction of lifespan and assessing risk factors of large-sample implant prostheses:a multicenter study
10.4047/jap.2024.16.3.151
- Author:
Jeong Hoon KIM
1
;
Joon-Ho YOON
;
Hae-In JEON
;
Dong-Wook KIM
;
Young-Bum PARK
;
Namsik OH
Author Information
1. Department of Prosthodontics, College of Dentistry, Yonsei University, Seoul, Republic of Korea
- Publication Type:Original Article
- From:The Journal of Advanced Prosthodontics
2024;16(3):151-162
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE:This study aimed to analyze factors influencing the success and failure of implant prostheses and to estimate the lifespan of prostheses using standardized evaluation criteria. An online survey platform was utilized to efficiently gather large samples from multiple institutions.
MATERIALS AND METHODS:During the one-year period, patients visiting 16 institutions were assessed using standardized evaluation criteria (KAP criteria). Data from these institutions were collected through an online platform, and various statistical analyses were conducted. Risk factors were assessed using both the Cox proportional hazard model and Cox regression analysis. Survival analysis was conducted using Kaplan-Meier analysis and nomogram, and lifespan prediction was performed using principal component analysis.
RESULTS:The number of patients involved in this study was 485, with a total of 841 prostheses evaluated. The median survival was estimated to be 16 years with a 95% confidence interval. Factors found to be significantly associated with implant prosthesis failure, characterized by higher hazard ratios, included the ‘type of clinic’, ‘type of antagonist’, and ‘plaque index’. The lifespan of implant prostheses that did not fail was estimated to exceed the projected lifespan by approximately 1.34 years.
CONCLUSION:To ensure the success of implant prostheses, maintaining good oral hygiene is crucial. The estimated lifespan of implant prostheses is often underestimated by approximately 1.34 years. Furthermore, standardized form, online platform, and visualization tool, such as nomogram, can be effectively utilized in future follow-up studies.
